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Robot environment map is used for the path planning. Sonar Sensor measurement is converted to the probabilistic representation of the environment (occupancy grid). In this paper we used sonar sensor model to identify the different regions of the robot on the floor (cells). We used the grid mapping to describe the emptiness and occupancy and the unknown areas of the robot environment and the nearby...
This paper presents an algorithm for online adaptation of the kernel width parameter in information theoretic cost functions used for adaptive system training. Training algorithms which optimize information theoretic quantities like entropy involve choosing a kernel size for their sample estimators. The kernel size essentially dictates the nature of the performance surface of the cost function over...
In the field of digital speech recognition powerful ASR (automatic speech recognizer) systems have been developed which employ highly intricate algorithms like the HMM, DTW and neural network based algorithms capable of recognizing up to 1000 different words. Their high complexity and computation requirements prove to be superfluous for less demanding tasks. In this paper is proposed a simple, less...
Incipient fault diagnosis of a power transformer is greatly influenced by the condition assessment of its insulation system specifically oil/paper insulation. In recent times, a number of intelligent methods based on AI techniques, Artificial Neural Network and Fuzzy Logic have been used to predict incipient faults in a power transformer based on its insulation studies under various kinds of stresses...
Results of lipase production by a soil microorganism, expressed in terms of lipolytic activities of the culture were modeled and optimized using artificial neural network (ANN) and genetic algorithm (GA) techniques, respectively. ANN model, developed based on back propagation algorithm, were highly accurate in predicting the system with coefficient of determination (R2) value being close to 0.99...
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